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The Research Engineer role involves building and improving deep learning systems, focusing on data quality, dataset and RL environment design, and collaborating with researchers to meet high standards for AI applications.

The Research Engineer will design datasets and RL environments, ensuring high data quality for AI systems development, and collaborate with teams to evaluate outcomes.

As a Software Engineering evaluator, you will curate code examples and evaluate AI-generated code for efficiency while collaborating with cross-functional teams to enhance AI-driven solutions.

The Client Director will lead large-scale LLM training programs, managing global teams, ensuring data quality, and overseeing client relationships. Responsibilities include optimizing workflows, developing automation tools, and enhancing model performance through high-quality datasets.

The role involves leading the engineering team in developing and deploying Generative AI applications, managing the technical roadmap, and collaborating with cross-functional teams to deliver AI solutions.

As a Senior AI Solutions Engineer, you will lead technical conversations with AI research partners, translate their needs into solutions, manage proof of concepts, and construct a playbook for future engineers.

The Forward Deployed Engineer will design, build, and deploy GenAI applications for customers, collaborating with various teams and ensuring robust solutions using Python and cloud platforms.

The Senior AI Solutions Engineer will lead technical discovery, build solutions, own pilot projects, and create a playbook for the enterprise knowledge work domain. Responsibilities include engaging with research partners, designing evaluations, and translating goals into deliverables while ensuring successful prototype demonstrations before contract signing.

Develop and optimize LLM-based solutions, maintain code in Python and SQL, integrate with cloud services, and provide mentoring. Collaborate cross-functionally and innovate in generative AI techniques.

The Staff Research Engineer - Code will lead the creation of datasets and reinforcement learning environments for coding agents, collaborating with AI labs to influence model improvements and operational excellence, while managing a technical team.